You built a RAG pipeline. Works great in dev. 6 months later, your users complain: "The search...
You built a RAG pipeline. Works great in dev.
6 months later, your users complain: "The search results are garbage."
You haven't changed a line of code.
Here's what happened:
Your product evolved. New features, new docs, new support tickets. The data drifted — but your embedding index didn't.
This is a story about "getting RAG right" — not a demo, but a production system under real business...
After debugging 20+ broken RAG systems, I've identified the 6 decisions that determine whether yours...
Enterprise RAG — A practitioner's build log | Post 3 of 6 A retrieval pipeline has more design...
In the previous article, we built a working RAG pipeline. Now let's step back and ask why we made...
How I Architected a 99.9% Uptime RAG Stack with DeepSeek — 2026 Guide I lost sleep over a single p99...
80% of RAG failures trace back to one decision made before the first vector is ever stored. Most...
